A Detailed Look at GPU Rentals from Salad and Massed Compute

Compare the top GPU rental providers to find the perfect match for your AI research needs. Dive into detailed specifications and reviews to make an informed decision.

VS

Features

Delve into the features of GPU rental companies.
Explore their adaptibility, pricing models, integration, and customer support features and find the best fit for you.

Salad

Massed Compute

Platforms Supported
Windows
Mac
Linux
SaaS/Web
On-Premises
iPhone
iPad
Android
Chromebook
Platforms Supported
Windows
Mac
Linux
SaaS/Web
On-Premises
iPhone
iPad
Android
Chromebook
Audience

Audience

Massed Compute is usually relied on by those working in machine learning, simulations, big data analysis, visual rendering, and generative AI.

Support
Phone Support
24/7 Live Support
Online
Support
Phone Support
24/7 Live Support
Online
API
Offers API
API
Offers API
Pricing
$0.02 per hour
Free Version
Free Trial
Pricing
$0.52 per hour
Free Version
Free Trial
Pricing Plans Conclusion
  • Salad's Affordable and Flexible Pricing:
    Salad offers extremely cost-effective GPU pricing, leveraging a distributed network of consumer GPUs. Prices start as low as $0.02 per hour for entry-level GPUs like the GTX 1650 and go up to $0.324 per hour for high-end GPUs such as the RTX 4090. Salad's pricing model is highly transparent, with no hidden fees and the ability to pay only for the actual usage time. This flexibility is beneficial for AI, machine learning, and high-performance computing applications, providing significant savings compared to traditional cloud providers​​.
  • Massed Compute's Versatile and Competitive Pricing:
    Massed Compute offers a range of affordable GPU pricing options, starting at $0.08 per hour for entry-level GPUs like the NVIDIA GeForce 1070, and up to $3.00 per hour for high-end GPUs such as the NVIDIA H100. Massed Compute emphasizes flexibility and scalability, allowing users to pay only for the resources they use. This model supports both short-term and long-term projects, ensuring cost-effectiveness and adaptability for various high-performance computing needs
Reviews/Ratings
Overall
/5
Ease
/5
Feature
/5
Design
/5
Support
/5
Reviews/Ratings
Overall
4.2/5
Ease
4.6/5
Feature
4.2/5
Design
4.5/5
Support
4.0/5
Training
Documentation
Webinars
Live Online
In Person
Training
Documentation
Webinars
Live Online
In Person
Integrations
Amazon Web Services (AWS)
Brev.dev
Caffe
Dropbox
Google Cloud Platform
Google Drive
Jupyter Notebook
Keras
Microsoft Azure
OpsVerse
Integrations
Amazon Web Services (AWS)
Brev.dev
Caffe
Dropbox
Google Cloud Platform
Google Drive
Jupyter Notebook
Keras
Microsoft Azure
OpsVerse
Summary

Which One Stands Better?

  • Salad is the better option for those who prioritize cost-effectiveness and scalability. Its use of a distributed network of consumer GPUs allows for significant savings and flexibility, making it ideal for budget-conscious projects that still require substantial computational power.
  • Massed Compute, on the other hand, is superior for users needing high-performance GPUs for a variety of applications, including data analytics, deep learning, and rendering. Its versatile pricing and support for both short-term and long-term projects provide excellent value for intensive computational needs.

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